The Occurrence Law of Residual Leaching Reagent and Rare Earth by In-Situ Leaching Based on Data Analysis

Abstract

Rare earth is an important strategic resource like the oil resource, and the national and local government pay more and more attention on it. The increasing research on rare earth tailings by in-situ leaching, and improving the utilization of rare earth resources, reducing the impact of tailings on the environment, is very significant. Because the experiment data is messy, so that it is difficult to directly draw the remnants law of rare earth elements, ammonium nitrogen and nitrate. In this paper, we firstly propose an improved k-meaning: optimizing the initial center points through computing the density of data objects. A new evaluation function is proposed, namely equalization function, which enable the cluster number to be generated automatically. Then we utilize the proposed k-means technology to pre-process the experiment data. We split the data to some classes according to the different concentration of leaching solution. And then, the nitric concentration and residual tailings leaching reagent of rare earth are classed based on k-means technique. Experimental study found that, when the concentration of ammonium sulfate is 2.0%, leaching flowing is 1.0ml/min and leaching solution is 400ml per kilogram of tailings, the leaching rate of the rare earth and the concentration of rare earth in the leaching solution were both higher, which will have good economic benefits.